C++ Developer - Internal Tooling & Optimization
About this role
About the Role What if your systems programming skills could directly shape the infrastructure powering the next generation of AI? We're looking for senior C++ engineers to design and build the high-performance tooling, data pipelines, and evaluation systems that leading AI labs depend on to train and improve their models. This is a fully remote, flexible contract role for experienced engineers who want to work on meaningful, high-impact systems — not maintenance tickets and tech debt. You'll be embedded in real production workflows alongside top research and engineering teams. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control - Profile and tune existing C++ codebases — hunting down bottlenecks, eliminating edge cases, and improving reliability at scale - Embed scripting languages within C++ applications to create flexible, extensible internal tooling - Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - 3–5+ years of professional experience writing production-quality C++ - Strong full-stack development background with a deep foundation in systems programming - Experienced profiling and optimizing code for performance in data-intensive environments - Comfortable embedding scripting languages (Python, Lua, or similar) within C++ applications - Native or fluent English speaker with clear written and verbal communication skills - Able to commit 20–40 hours per week consistently Nice to Have - Prior experience with data annotation, data quality pipelines, or evaluation systems - Familiarity with AI/ML workflows, model training infrastructure, or benchmarking pipelines - Experience with distributed systems architecture or developer tooling - Background working directly with AI research teams or production ML infrastructure Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact engineering work - Contribute directly to the infrastructure shaping how next-generation AI is built and evaluated - Potential for ongoing work and contract extension as new projects launch
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